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DataVisor, the leading fraud detection company with solutions powered by transformational AI technology, has expanded its family of fraud detection solutions with the Advanced Rules Engine that augments its product suites of sophisticated proactive mea… Continue reading DataVisor expands its family of fraud detection solutions with the Advanced Rules Engine
If you have banking or e-commerce apps you haven’t opened in months, it’s a good time to make sure no one else is using them, either. Sixty-five percent of accounts that experience an account takeover attack — when an outsider logs in with a victim’s own username and password — have not been accessed by their true owner in more than 90 days, according to forthcoming research from DataVisor, a California-based startup specializing in fraud detection. When an account is dormant for awhile, it’s easier for a crook to use an unsophisticated method to get in, take what they want and get out before they’re caught. It typically works like this: Thieves gather usernames and passwords leaked in previous breaches of popular sites. Then they enter the information into automated tools, which submit those stolen credentials into dozens or hundreds of apps. Successful hits give attackers the means to steal money, use customer loyalty points or temporarily hijack […]
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Continue reading When your apps are dormant, you become a more likely target for crooks
DataVisor, the company delivering comprehensive AI-powered fraud management solutions across industries, today announced expanded operations in EMEA to address the growing need for its solutions. The company has emerged as a leader in fraud management … Continue reading DataVisor expands EMEA operations after seeing more demand in the region
Fraudsters are using a complex array of tools to build armies of fake accounts, 74% of all fraudulent accounts are created from desktops, and cloud service provider IP ranges are at a higher risk. How fraudsters behave Fraudsters rely heavily on cloud … Continue reading As fraud attacks grow more sophisticated, a need for contextual detection strategies increases
DataVisor, the award-winning AI-powered fraud management company, announced the launch of DCube. DCube builds on DataVisor’s pioneering fraud platform to deliver a single, turnkey solution that introduces unprecedented advances to the current fraud man… Continue reading DataVisor launches DCube delivering expanded control to data scientists and fraud teams
DataVisor, a leading fraud detection company, announced that it has integrated its artificial intelligence platform with Microsoft Azure AI, enabling users to have reliable, real-time fraud detection across billions of cloud accounts. The integration w… Continue reading DataVisor integration with Azure AI enables real-time fraud detection
Sophisticated fraud campaigns are beginning to outwit machine learning solutions especially the ones that only detect known fraud patterns based on historic loss experience, according to DataVisor. The median lifetime of IP fraud signals is only 3.5 da… Continue reading Insight into the growing problem of highly sophisticated fraud
DataVisor introduced new functionality with its 2018 Fall release to improve customers’ ability to gain insight into the fraud and abuse impacting their business. Fraud continues to have a bottom-line impact for both businesses and their customers. A T… Continue reading DataVisor powers insight into fraud and abuse patterns for enterprise and mobile customers
Researchers found that 21.57% percent of accounts originating from cloud service IP ranges appear to be fraudulent. Malicious accounts are eight times more likely to originate via cloud services than normal users. In fact, some cloud services and data … Continue reading For some cloud services more than 75% of accounts are utilized by hackers
DataVisor, a company that uses machine learning to detect fraud, announced a $40 million Series C funding round Monday led by Sequoia Capital China. The company, founded by two former Microsoft Research employees, uses unsupervised machine learning to discover malicious behavior. Unsupervised learning allows machines to track patterns across data sets in order to make decisions on their own, as opposed to supervised learning, which trains computers through data feeds provided by engineers. DataVisor detects various types of fraud and abuse, including fraudulent transactions, fake content, spam and abuse, identity theft, application fraud and money laundering. The company says its technology protects 2 billion users globally, with a client list that includces Pinterest, Yelp, Alibaba Group, Dianping, Toutiao, Cheetah Mobile and Tokopedia. “Enterprises today are facing constantly evolving threats from sophisticated and tech-savvy fraudsters who continuously experiment and find ways to evade detection,” said Yinglian Xie, CEO and co-founder of DataVisor. “This new […]
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Continue reading DataVisor raises $40 million Series C for machine-learning fraud detection